The study presents an automatic segmentation method for short-axis MOLLI data sets. We used a deep learning method based on convolutional neural network to accurately extract walls and blood pool regions of left and right ventricle. We compared the results with a layer-growing method presented in ISMRM 2017 and found that the accuracy of segmentation was significantly improved when using the deep learning method.
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